Graph Engineer (AI&Data)

THE WORK:

• Design and implement knowledge graph solutions to connect and enrich enterprise data across structured and unstructured sources. 

• Collaborate with Data Architects, Engineers, Data Scientists, and AI teams to develop graph-based solutions supporting analytics and GenAI use cases. 

• Build andmaintainsemantic models, ontologies, taxonomies, and graph schemas thatrepresentbusiness concepts and relationships. 

• Develop andoptimizegraph data models and queries to improve data discovery, reasoning, and AI-powered insights. 

• Integrate knowledge graphs with enterprise Data & AI platforms, including Retrieval-Augmented Generation (RAG) and Agentic AI solutions. 

• Participate in client workshops, technical design sessions, and solution development activities for graph and AI initiatives. 

• Work flexibly across remote, client, and Accenture locations while collaborating with cross-functional teams.

Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office - depending on specific project circumstances With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

WHAT’S IN IT FOR YOU?

• Work on innovative Data & AI projects for international clients,leveragingknowledge graphs, semantic technologies, and GenAI. 

• Gain exposure to advisory, solution design, and enterprise-scale delivery while working with multidisciplinary teams. 

• Buildexpertisein graph technologies, semantic AI, and modern enterprise data platforms through real client challenges. 

HERE'S WHAT YOU'LL NEED

• Experience in designing or implementing graph-based data solutions or semantic data models. 

• Understanding of knowledge graphs, ontologies, taxonomies, and semantic web concepts. 

• Familiarity with graph query languages and graph modelling principles. 

• Understanding of graph databases and their application in AI, analytics, and knowledge management. 

• Experience working with cloud-based Data & AI platforms and integrating multiple data sources. 

• Strong analytical thinking, problem-solving, communication, and stakeholder collaboration skills.

BONUS POINTS IF YOU HAVE:

• Experience with graph databases such as AWS Neptune, Neo4j, Amazon Neptune, or Azure Cosmos DB (Gremlin). 

• Familiarity with RDF, OWL, SKOS, SPARQL, Gremlin, Cypher, or similar graph and semantic technologies. 

• Experience building Knowledge Graphs for RAG, Agentic AI, recommendation systems, or enterprise search. 

• Experience with data catalogue, metadata management, or semantic layer solutions, as well as consulting or solution shaping in the Data & AI domain.

Researchindicatesthat some candidates, especially the most diverse ones, may hesitate to apply for positions if theydon'tmeet all requirements. If you believe youpossessthe necessary skills, even if not meeting every requirement, we wholeheartedly encourage you tosubmityour application. 

WHAT WE OFFER?

• Permanent employmentcontract. 

• Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach. 

• A wide training package (soft, technical, and language training offer, access to the e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification). 

• Employee Assistance Program - legal, financial, and psychological consultations. 

• Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares. 

• Paid employee referral program. 

• Private medicalcare,life insurance. 

• Access to theWorksmileplatform (possibility of using a wide range of products and services, including the Multisport card) 

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